---
title: "Alternative Fuel Stations"
author: "Data: United States Department of Transportation | Visualization: Florian Tanner"
output: 
  flexdashboard::flex_dashboard:
    theme: journal
    social: menu
    source_code: embed
---

```{r setup, include=FALSE}
library(flexdashboard)
library(leaflet)
library(tidyverse)
```

```{r}
stations <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2022/2022-03-01/stations.csv') 
```

```{r}
cols <- ggsci::pal_jama("default")(6)
```

```{r}
public_access <- stations |>  
  janitor::clean_names() |> 
  filter(access_code == "public")  |> 
  mutate(fuel_type= case_when(fuel_type_code == "BD" ~ "Biodiesel (B20 and above)",
                              fuel_type_code == "CNG" ~ "Compressed Natural Gas (CNG)",
                              fuel_type_code == "E85" ~ "Ethanol (E85)",
                              fuel_type_code == "HY" ~ "Hydrogen",
                              fuel_type_code == "LNG" ~ "Liquefied Natural Gas (LNG)",
                              fuel_type_code == "LPG" ~ "Propane (LPG)",
                              fuel_type_code == "ELEC" ~ "Electric"))

map_dat <- public_access |> 
  filter(fuel_type_code != "ELEC") |> 
  mutate(fuel_type = factor(fuel_type, levels = c("Ethanol (E85)","Propane (LPG)", "Compressed Natural Gas (CNG)",
                                                     "Biodiesel (B20 and above)","Hydrogen","Liquefied Natural Gas (LNG)")),
         fuel_color = case_when(fuel_type_code == "BD" ~ cols[1],
                              fuel_type_code == "CNG" ~ cols[3],
                              fuel_type_code == "E85" ~ cols[5],
                              fuel_type_code == "HY" ~ cols[2],
                              fuel_type_code == "LNG" ~ cols[6],
                              fuel_type_code == "LPG" ~ cols[4]))
  
```


```{r}
vectors <- map_dat |> 
  select(fuel_color, fuel_type) |> 
  distinct()

color_vector <- vectors$fuel_color
label_vector <- as.character(unique(vectors$fuel_type))
```



Column {data-width=650}
-----------------------------------------------------------------------

### Providers of alternative fuels

```{r}
leaflet() %>% 
  addTiles() %>% 
  fitBounds(-127.44,24.05,-65.30,50.35) %>% 
  addCircleMarkers(map_dat$x, 
                   map_dat$y, 
                   color = map_dat$fuel_color, 
                   radius = 4, 
                   fill = T,
                   fillOpacity = 0.05,
                   opacity = 0.6,
                   popup = paste(map_dat$station_name,
                                 map_dat$street_address, 
                                 map_dat$fuel_type,
                                 sep = " ")) %>%
  addLegend("bottomleft", 
            colors = color_vector,
            labels = label_vector,
            opacity = 0.8)
```

Column {data-width=350}
-----------------------------------------------------------------------

### Total number of stations (log scale)

```{r}
bar_cols <- c("BD" = cols[1],"CNG" = cols[3],"E85" = cols[5],"HY" = cols[2], "LNG" = cols[6], "LPG" = cols[4], "ELEC" = "grey50")
```


```{r}
public_access |> 
  group_by(fuel_type, fuel_type_code) |> 
  summarise(n = n()) |> 
  ggplot(aes(y = reorder(fuel_type, n), x = n, fill = fuel_type_code)) +
  geom_col(width = 0.7) +
  geom_text(aes(label = n), hjust = 1, nudge_x = -.3) +
  scale_x_log10() + 
  scale_fill_manual(values = bar_cols) + 
  # labs(x= "Total number of stations (log scale)") +
  theme_minimal() +
  theme(axis.title.y = element_blank(),
        legend.position = "none",
        axis.title.x = element_blank())
```

### Electric 

```{r}
public_access_electric <- public_access |> 
  filter(fuel_type_code == "ELEC")  |> 
  mutate(fuel_type= "Electric")
```


```{r}
leaflet() %>% 
  addTiles() %>% 
  fitBounds(-127.44,24.05,-65.30,50.35) %>% 
  addCircleMarkers(public_access_electric$x, 
                   public_access_electric$y, 
                   color ="grey50",
                   radius = 4, 
                   fill = T,
                   fillOpacity = 0.1,
                   opacity = 0.05)
```